Rapamycin inhibits hydrogen peroxide-induced loss of vascular contractility
Bibliographic record
Abstract
Rapamycin, an inhibitor of the mammalian target of rapamycin (mTOR) pathway, has been shown to extend the life span of mice, and oxidative stress plays critical roles in vascular aging involving loss of compliance of arteries. We examined, therefore, whether rapamycin has protective effects on the inhibition of vascular contractility by hydrogen peroxide (H₂O₂). Prolonged (3 h) exposure to H₂O₂ induced complete loss of contraction of mouse aortic rings and mesenteric (resistance) arteries to either KCl or phenylephrine, which was attenuated by pretreatment with rapamycin. H₂O₂-induced loss of contractility was unaffected by treatment with actinomycin D or cycloheximide, inhibitors of gene transcription and protein synthesis, respectively. Western blot analysis showed that there was no increase in phosphorylation of S6 kinase 1 (S6K) or factor 4E binding protein 1 (4EBP1) in response to H₂O₂ treatment, suggesting involvement of the mTOR complex-2 (mTORC2) rather than mTORC1. H₂O₂ treatment inhibited phosphorylation of the 20-kDa regulatory light chains of myosin (LC₂₀), which was partially blocked by rapamycin treatment. Interestingly, the calcineurin inhibitors cyclosporine A and FK506 were found to mimic the rapamycin effect, and rapamycin inhibited calcineurin activation induced by H₂O₂. We conclude that rapamycin inhibits H₂O₂-induced loss of vascular contractility, likely through an mTORC2-calcineurin pathway.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".